QC Fiber photometry

[oliche]

• Document for the website access: https://docs.google.com/document/d/18FO78rAbUU19wX9oN3lfyD6kNqvFsil5t_jE2oAbKVE/edit

There are 2 sheets:

• https://docs.google.com/spreadsheets/d/1I2kD-YbsfETNxUKikHrGNirCWTvSKbq0UQ2T3h5i7_E/edit?pli=1&gid=1587932980#gid=1587932980 The one where we did the QC, that is at the session level
• https://docs.google.com/spreadsheets/d/1YlvY1RoqxSMwWqFx7MJjaQd6gwRIsxqszqbs0Yw5wHM/edit?gid=0#gid=0 There is another sheet where Kcenia labelled each fiber (that is equivalent to a chronic insertion)

[oliche]

We want to have a feel for the quality of all recorded photometry sessions at IBL.

• photometry website recipes: https://docs.google.com/document/d/18FO78rAbUU19wX9oN3lfyD6kNqvFsil5t_jE2oAbKVE/edit
  -overview spreadsheet: https://docs.google.com/spreadsheets/d/1I2kD-YbsfETNxUKikHrGNirCWTvSKbq0UQ2T3h5i7_E/edit?gid=1587932980#gid=1587932980

• label sessions acquired at CCU as a first pass and provide pivoted statistics

• despike / handle sharp photobleaching for unknown sessions

• add sessions from Princeton to the website

The goal is to get a feel of how many subjects/sessions/neuromodulators could be used in an overarching analysis

[GaelleChapuis]

Alejandro refs:

• https://int-brain-lab.github.io/iblenv/notebooks_external/loading_photometry_data.html
• https://github.com/int-brain-lab/ibldevtools/blob/c025b236b04bb15e8bbb25449e1b526b56abadaa/olivier/2024-10-09_load_photometry_alejandro.py#L19-L18
• https://github.com/alejandropan/fiber_photometry/blob/master/DAQ_extractor.py > dff_qc

[GaelleChapuis]

• Fiber photometry - Run code from Georg on Alejandro's dataset

[grg2rsr]

• run qc on the level of individual animals